Improving the Capabilities of Cognitive Radar and EW SystemsJune 30, 2022 by Rohde & Schwarz
White Paper Overview
Unveil the challenges that mode-agile (WARM) radar and EW threat emitters pose to traditional static threat library implementations in radar and EW systems, and consider the architecture of cognitive artificial intelligence (AI) and machine learning (ML) systems that can be used to deliver effective RF countermeasures.
This white paper also explains how a wideband RF record, simulation and playback system can be used to train the AI/ML engines, and evaluates the responses and effectiveness of those countermeasures on real hardware.
- Elements of a Cognitive Radar/EW System
- Artificial Intelligence and Machine Learning Techniques
- Cognitive Radar/EW System
- Challenges in Training Cognitive Radar/EW Systems
- Acquisition of Dataset
- HIL/SIL Training System